جست‌وجوی استاد و پژوهشگر

Ponnie Clarkمشاهده پروفایل

مدرس ارشد

• Artificial Intelligence
• Blockchain
• Data Science
• +۶ مورد دیگر

Dr. Ponnie Clark is a Multi-Discipline Adjunct Senior Lecturer at the University of Western Australia (UWA), affiliated with the School of Physics, Maths and Computing and the Department of Computer Science and Software Engineering. Prior to UWA, she held an academic position at Curtin University for two decades, focusing on research and teaching in Information Systems and Computer Science. She has supervised 12 PhD and 2 Master’s students, and published over 100 peer-reviewed articles. Education: PhD in Information Systems, Curtin University (Thesis: A methodology for multi-site distributed software development) Master of Computer Science (Visualisation Amortised Analysis) Bachelor of Mathematics Her research spans multidisciplinary areas including Artificial Intelligence, Blockchain technology, Data Science, and Ontology Engineering. Key projects include developing blockchain frameworks for financial systems, peer-to-peer energy trading, and flood risk management. She has contributed to UN Sustainable Development Goals related to environmental sustainability and digital solutions. Her recent articles focus on blockchain scalability, decentralized finance, flood risk modeling, and social politics analysis through knowledge graphs. She has led grants such as the Blockchain research group and projects funded by industry partners like I Synergy Group Limited and Alphabright Digital Pty Ltd. Dr. Clark has been involved in collaborative research across disciplines, including energy systems, disaster management, and social media analytics. Her work emphasizes practical applications of technology to solve real-world challenges in areas like energy trading, financial inclusion, and environmental resilience.

Holly Wrightمشاهده پروفایل

پژوهشگر

• Digital Archaeology
• Semantic Web
• Archaeological Data Science
• +۵ مورد دیگر

Holly Wright is an archaeologist and digital heritage specialist affiliated with the University of York through the Department of Archaeology and the Archaeology Data Service (ADS) . Her career bridges the arts, archaeology, and computing, with a focus on digital data infrastructures and semantic technologies. BFA in Art (Drawing and Painting), University of California at Santa Cruz BA in Art History (Architectural History), University of California at Santa Cruz MSc in Archaeological Information Systems, University of York (Distinction) PhD in Archaeology, University of York (2011) Her research explores the intersection of digital archaeology and heritage science , particularly how tools like the Semantic Web , Scalable Vector Graphics (SVG) , and automated image recognition can enhance archaeological data preservation and accessibility. She has contributed to major projects such as SEADDA , ARIADNEplus , SSHOC , and ArchAIDE , which aim to standardise and democratise archaeological data practices across Europe and beyond. Holly’s publications reflect her expertise in digital visualisation , data infrastructures , and technology-driven archaeological methods . Recent work includes applications of NLP in archaeology and addressing the digital divide in heritage research. Her contributions to the field have been recognised through the EU Marie Curie CHIRON fellowship , which supported her PhD research. Scientific Awards EU Marie Curie CHIRON Fellowship (2005) Holly currently serves as the International Projects Manager for the Archaeology Data Service , where she leverages her administrative and research skills to support large-scale digital heritage initiatives. She is also affiliated with the Centre for Digital Heritage and has co-led projects like AUTOMATA and Transforming data Re-use in ARCHaeology as a Principal Investigator.

• Evolutionary Algorithms
• Swarm Robotics
• Optimization
• +۳ مورد دیگر

Prof. Ben Paechter is a leading academic at the School of Computing Engineering and the Built Environment , Edinburgh Napier University, specializing in evolutionary algorithms and swarm robotics. As a Professor , he has shaped research directions in computational optimization and adaptive systems for over two decades. Research Themes : Evolutionary Swarm Robotics, Multi-Objective Optimization, Hyper-heuristics, Neural Architecture Search Key Projects : FOCAS (European Commission), KTP: Intelligent Agents (Innovate UK), PerAda (Self-Aware Systems) Collaborations : CAVES Research Group, Centre for Algorithms, Visualisation and Evolving Systems His article trends demonstrate expertise in cross-domain hyper-heuristics, swarm behavior tree evolution, and neural network architecture optimization. Recent works (2023-2024) focus on GPU-accelerated evolutionary algorithms and hierarchical swarm control systems. Scientific Awards : Fellow of the British Computer Society (FBCS) Chartered IT Professional (CITP) GECCO Best Paper Nomination (2018) Advising & Grants : Supervised 5 PhD students including Paul Lapok (planar mechanisms) and Andreas Steyven (swarm diversity). Secured £2.2M+ in funding across 13 projects, including EU FOCAS (£639,999) and Innovate UK grants.

• Data-driven web technologies
• Information visualization
• Interaction design
• +۴ مورد دیگر

Dr Alan Cannon is a Research Fellow at Edinburgh Napier University's School of Computing , affiliated with the Centre for Algorithms, Visualisation and Evolving Systems . His work spans data-driven web technologies, information visualization, interaction design, and software evaluation. Education: PhD: Interactive Visualisation Tools for Supporting Taxonomists Working Practice (2006) Alan specializes in creating visualization systems for biological and taxonomic data through projects like MaTSE and TaxVis . His recent work focuses on mobile platforms for safety engineering inspections and data-driven web services for academic and commercial applications. His publications demonstrate expertise in bioinformatics visualization, ontology-driven systems, and mobile application development across multiple domains including taxonomy, property management, and safety engineering. Research Grants: Data Driven Analysis of PEMFT Benefits (2022, £5,000) Solicitor Data Management for TC Young (2018, £5,000) Managing Archaeological Projects (2017, £5,000) Follow-on development for Plansafe Ltd. (2015-2016, £35,837) TrueBuild App Development (2014-2015, £5,000) Scottish Forestry Project (2016-2017, £28,492) Alan has extensive experience in academic-industry collaboration, commercialization activities, and developing visualization tools for complex data sets across biological sciences, engineering, and database systems.

• Evolutionary Computation
• Swarm Robotics
• Optimisation Algorithms
• +۴ مورد دیگر

Professor Emma Hart is a leading academic at Edinburgh Napier University , affiliated with the School of Computing Engineering and the Built Environment and the Centre for Algorithms, Visualisation and Evolving Systems . Her research focuses on evolutionary computation , swarm robotics , and optimisation algorithms , with applications in ecology, cybersecurity, and AI-driven design. Education: 1 st Class Honours in Chemistry (Oxford), MSc and PhD in AI (Edinburgh) Leadership: Former Editor-in-Chief of Evolutionary Computation (MIT Press, 2017–2023), ACM SIGEVO Board member, and key contributor to Scotland’s AI Strategy (2021). Her research spans evolutionary robotics, lifelong learning systems, and explainable AI. Recent work includes using novelty search to engineer diverse robot swarms, XAI for algorithm configuration, and LLM-evolved heuristics for bin packing. She explores fitness landscapes and attractor analysis to improve optimisation model robustness. Scientific Awards include the ACM SIGEVO Outstanding Contribution Award (2023) Fellow of the Royal Society of Edinburgh (2022) Bronze Humies Award (2018) Best Paper Award@GECCO 2019 She supervises PhD students such as Grant Anderson Kirsty Montague Kelly Hunter Magnus Janson Fiona Stewart and has led over £2M in grants, including EPSRC , Innovate UK , and EU projects on autonomous robot evolution and lifelong learning systems.

Suzana Loshkovskaمشاهده پروفایل

استاد

• Programming
• Visualization
• Human-Computer Interaction
• +۳ مورد دیگر

Suzana Loshkovska, PhD , is a Full Professor at the Faculty of Computer Science and Engineering of Ss. Cyril and Methodius University in Skopje , Macedonia. Since 1992 she has held continuous academic appointments, interrupted only by a visiting-researcher stay at the Academy of Sciences of Lower Austria (1993–1994) where she designed a medical information system for Krems Hospital. Education : BSc (1989) and MSc (1992) in Computer Science and Automation, Faculty of Electrical Engineering, Skopje PhD (1995) in Technical Sciences, Technical University of Wien, Austria Research Interests span programming, visualization, human–computer interaction, virtual reality, medical imaging, and modelling/visualization of medical processes. Her work integrates advanced algorithmic techniques—such as hierarchical multi-label classification, support-vector machines, predictive clustering trees, and Bayesian networks—into practical medical and multimedia applications. Across more than one hundred peer-reviewed publications, her recent articles concentrate on content-based medical image retrieval , annotation of medical images , visual concept detection , and interactive medical systems . These contributions collectively advance computer-aided diagnosis, clinical decision support, and efficient management of large-scale medical data sets. Scientific Awards & Recognition : Member, Editorial Board, INFORMATICA (international journal, Slovenia) Projects & Funding : Principal investigator or participant in bilateral and EU-funded projects including SEE-ERA.NET Plus, TEMPUS DL@WEB, TEMPUS M.Sc. E-Learning, and multiple Macedonian Ministry of Science grants covering medical imaging, environmental modelling, distance learning, and electromagnetic-effects visualisation. While no specific research group or laboratory name is provided, her sustained involvement in national and international projects indicates active leadership within the university’s medical-informatics and multimedia-research community.

• Building Information Modelling (BIM)
• ICT in the built environment
• Child-friendly outdoor environments
• +۴ مورد دیگر

Professor Lamine Mahdjoubi is Professor of the Built Environment at the University of the West of England (UWE Bristol), Faculty of Environment and Technology, Department of Architecture and the Built Environment. An architect and urban designer by training, he has gained international recognition for integrating advanced ICT solutions into the design, management, and visualisation of the built environment. Education & Qualifications: Qualified in Architecture and Urban Design (specific institutions and dates not provided in the text). Research Interests: Professor Mahdjoubi’s research focuses on the intersection of digital technologies and sustainable urban environments. He develops innovative methodologies and tools for analysing human–environment interactions, with particular emphasis on: Building Information Modelling (BIM) for design, construction, and operations; Virtual and immersive environments for collaborative design and stakeholder engagement; Child-friendly outdoor environments, linking urban design to public health outcomes; Heritage Building Information Modelling (HBIM) for retrofitting and conservation; Blockchain and machine-learning applications for decentralised energy management; Decision-support systems for brownfield redevelopment and risk assessment. Publication Trends: Across >100 peer-reviewed outputs, recent work (2020–2025) demonstrates a clear pivot toward AI and data-driven approaches in the built environment. A dominant strand couples BIM with machine-learning and VR/AR technologies to enhance design coordination, safety, and sustainability. Energy research increasingly integrates blockchain and large-language-model systems for smart grids. A second major strand addresses socio-environmental equity, producing evidence-based guidelines for healthy outdoor spaces for children and refugee communities. Scientific Awards & Recognition: While specific named awards are not listed, Professor Mahdjoubi’s international recognition is evidenced by: Membership of the Advisory Board, International Making Cities Livable (USA); Invited keynote speaker at numerous national and international conferences; Chief/External Examiner roles for universities in the UK and overseas; Founding Director of the pioneering Virtual Reality Enterprise Centre (VREC) at UWE Bristol. Research Funding & Teams: He has secured and directed major projects funded by: UK Engineering & Physical Sciences Research Council (EPSRC); British Academy; European Union Framework Programmes; Qatar National Research Fund (QNRF); Industry partners and local authorities. These initiatives have supported multidisciplinary teams spanning architecture, computer science, public health, and social policy. Laboratories & Centres: Professor Mahdjoubi founded and directed the Virtual Reality Enterprise Centre (VREC) , the first UK centre dedicated to knowledge exchange in visualisation and analysis of the built environment. The centre provides state-of-the-art VR/AR facilities for teaching, research, and industry collaboration.

Enjie Liuمشاهده پروفایل

استاد

• Network Applications
• Healthcare Technology
• Big Data Management
• +۴ مورد دیگر

Dr. Enjie Liu is a Professor of Network Applications at the University of Bedfordshire's School of Computer Science and Technology. She holds leadership roles as Portfolio Leader for the Undergraduate Computer Science and Technology Foundation and IRAC Postgraduate Research Lead. Her expertise spans networked applications in healthcare, big data, IoT, and wireless protocols. With a BSc from Northwest University and a PhD in Telecommunications from Queen Mary, University of London, she has over 100 peer-reviewed publications and led major EU/EPSRC projects like CARRE and Femtocell. Her research addresses healthcare monitoring, network management, and vehicular communication challenges. Enjie's work integrates medical knowledge retrieval, disease prediction, and efficient resource allocation in IoT/VANET systems. She has pioneered projects like MyHealthAvatar for patient-centric health visualization and co-developed reliable MAC protocols for safety-critical vehicular networks. Her industrial experience includes roles in China and the UK prior to joining Bedfordshire in 2003. Education BSc in Computer Science, Northwest University, China PhD in Telecommunications, Queen Mary, University of London Research Interests Dr. Liu focuses on: Healthcare IoT systems and telemedicine applications Big data analytics for disease progression modeling Wireless network optimization in vehicular and femtocell environments Secure and reliable communication protocols for critical infrastructure Her work bridges clinical needs with advanced networking technologies through projects like CARRE (EU FP7), which developed interactive visualization tools for health monitoring. Key Contributions Developed adaptive MAC protocols for VANET safety applications Designed spectrum allocation strategies for cognitive radio IoT systems Advanced femtocell network interference mitigation techniques Labs & Teams Affiliated with the Institute for Research in Applicable Computing (IRAC) and Centre for Computer Graphics and Visualisation (CCGV) . Collaborates across disciplines in health tech and telecommunications.

• Computer Networks
• Networked Systems
• Network Resilience
• +۳ مورد دیگر

Charalampos Rotsos is a Senior Lecturer in Computer Networks and Networked Systems at Lancaster University's School of Computing and Communications . He leads research in network resilience, programmability, and virtualization. Current projects: DSI: DVAC (Data-driven Visualisation and Aggregation of Cyber vulnerabilities) Research groups: SCC (Networking), i-DID Research Focus : His work spans intent-based networking, middlebox resilience, software-defined networking (SDN), network virtualization (NFV), and cybersecurity. Recent studies include semantic intent translation frameworks (SWIFT), virtualization-driven resilience (REMEDIATE), and state mirroring for middleboxes (Katoptron). Collaborative Efforts : He contributes to projects like NG-CDI (Future Network Intelligence) and develops tools for emulation automation (NES), network policy inference (Reasonet), and high-speed network evaluation (OFLOPS-SUME). PhD Supervision : Mentors students including Paul Alcock, Revika Anand, and Alexander Jung in networked systems research. Collaborates with PhD students in the SCC (Networking) group. Contact : Office D14, InfoLab21. Email: c.rotsos@lancaster.ac.uk

Yidan Zhangمشاهده پروفایل

پژوهشگر ارشد

• Spatial-Temporal Data Sensemaking
• Human-Computer Interaction
• Immersive Analytics
• +۵ مورد دیگر

Yidan Zhang is a Research Fellow at Monash University's Department of Human Centred Computing, specializing in spatial-temporal data analysis within immersive environments. She holds a PhD from Monash (2024), MSc in Information Technology (2019), and a BA in Arts from Jinan University (2016). Her work focuses on embodied interaction, immersive analytics, and energy visualisation, contributing to UN SDGs in education and sustainable energy. Research Interests : Spatio-Temporal Data Sensemaking Immersive Analytics Embodied Provenance Eye Tracking in Immersive Systems Energy Efficiency Visualisation Recent Research Trends : Her publications emphasize embodied interaction design, immersive data exploration tools, and energy-aware visualisation systems. Notable contributions include frameworks for tracking user interactions in immersive environments and improving user engagement in energy management. Lab/Teams : Member of the Embodied Visualisation research group, collaborating on multidisciplinary projects involving immersive technology and human-computer interaction.

Boris Müllerمشاهده پروفایل

استاد

• Data Visualisation
• Interaction Design
• Generative Design
• +۳ مورد دیگر

Boris Müller is Professor for Interaction Design at the University of Applied Sciences Potsdam, where he has been employed since May 2004. He currently serves as Vice Dean and head of the Interface Design graduate programme. Müller is also co-director of the Urban Complexity Lab, a research group focusing on data visualisation and information design, which he established together with Prof. Dr. Marian Dörk. Born in 1972 in Berlin, Müller studied design at the University of the Arts Bremen before pursuing a Master of Arts in Computer Related Design at the Royal College of Art in London. His professional career has spanned multiple prestigious institutions including MetaDesign San Francisco, the Institute for Media Communication of the Fraunhofer Gesellschaft, and the Interaction Design Institute Ivrea in Italy, where he worked as a researcher and visiting professor. Müller's research focuses on the intersection of design, data, and technology, with particular emphasis on Data Visualisation , Interaction Design , and Generative Design . His work explores how visual representations can make complex information accessible and engaging, while also investigating the philosophical and cultural implications of digital interfaces. He has published extensively on these topics, with a particular interest in how design can facilitate understanding of scientific data, especially related to climate change and urban environments. Over the past decade, Müller's publications have evolved to address increasingly complex challenges at the intersection of design, data science, and societal issues. His recent work shows a growing emphasis on speculative design approaches, critical examinations of AI in creative practice, and innovative methods for visualizing climate data. Müller has also been increasingly focused on the pedagogical aspects of design education, exploring how to prepare the next generation of designers for a rapidly changing technological landscape. Scientific Awards Special Distinction at the Lucky Strike Junior Designer Award (2000) 1st prize in the student category of the EuroPrix (2001) Excellence Award of the 4th ACA Media Arts Festival in Tokyo (2000) Honourable Mention of the rhizome.org Net Art Commission (2002) Certificate of Typographic Excellence from the Type Directors Club New York (2003) 100 best posters (100 Beste Plakate) (2003) iF design award (2005) Information is Beautiful Silver Award (2013) German Infographics Award, category Science (2014) Müller has supervised numerous students through the Interface Design graduate programme at the University of Applied Sciences Potsdam, though specific names of advisees are not publicly listed. His work at the Urban Complexity Lab has attracted various research grants focused on data visualization and urban futures. Müller frequently collaborates with international institutions, as evidenced by his lectures at venues including Kyushu University in Japan and Aalto University in Finland. As co-director of the Urban Complexity Lab, Müller leads a research group dedicated to exploring how data visualization can help understand complex urban systems. The lab's work combines design practice with scientific research, creating innovative approaches to representing urban data. Müller's team has developed several notable projects, including the SENSES project which translates complex scientific climate scenario information into relevant knowledge for different user groups.

• Machine Learning
• Deep Learning
• Computer Vision
• +۸ مورد دیگر

Dr. Amir Atapour-Abarghouei is an Assistant Professor in the Department of Computer Science at Durham University, UK, and a Fellow of the Wolfson Research Institute for Health and Wellbeing. He leads the VIViD (Vision, Imaging and Visualisation in Durham) research group. Previously, he held roles at Newcastle University and Shahid Bahonar University of Kerman (Iran). His research focuses on machine learning, deep learning, computer vision, 3D scene understanding, and natural language processing. Notable contributions include the GANomaly anomaly detection framework, now part of Intel's AI products. Education : Ph.D., Computer Science, Durham University (UK) M.Sc., Computer Science, Universiti Teknologi Malaysia (Malaysia) B.Sc., Computer Engineering, Shahid Bahonar University of Kerman (Iran) Research Interests : His work spans machine learning, deep learning, image processing, 3D scene analysis, and robotics. Key areas include depth estimation, domain adaptation, semantic segmentation, and causal-based models for action quality assessment. Recent projects involve datasets like DurTOMD and Dur360BEV for autonomous systems and image inpainting techniques (e.g., HINT, SEM-Net). Advising & Grants : He supervises over 15 postgraduate students and has contributed to grants focused on AI-driven systems in healthcare, robotics, and computer vision. His team's work on GANomaly and neural architecture search (NAS) has been widely cited and applied in industry. Labs/Teams : Leads the VIViD Research Group and collaborates on interdisciplinary projects involving healthcare imaging, autonomous vehicles, and ethical AI. Active in organizing workshops at CVPR, IEEE BigData, and the BMVA Summer School.

Mashhuda Glencrossمشاهده پروفایل

دانشیار

• Computer Graphics
• Human-Computer Interaction
• Virtual and Augmented Reality
• +۶ مورد دیگر

Associate Professor Mashhuda Glencross is Deputy Associate Dean Academic (Students) in the Faculty of Engineering, Architecture and Information Technology (EAIT) at The University of Queensland (UQ). She holds a PhD in Computer Science from The University of Manchester. Her research focuses on computer graphics, human-computer interaction, and their applications to real-world challenges in renewable energy, health, and disaster resilience. She leads projects on visualisation technologies for decision-making during natural disasters and smart grid systems. Education: BSc (Hons) Polymer Science & Engineering, MSc Computer Science, PhD Computer Science (University of Manchester) Industry Experience: Former Technical Product Manager at ARM Ltd, Co-founder of two UK tech startups, Research Director at Pismo Software (VR interior design), and Director of Research at a smart heating company. Her work spans virtual reality (VR) , augmented reality (AR) , and cybersecurity for mixed-reality systems . Recent projects include developing AI tools for education assessment and grid health visualization platforms. She is a Senior Member of the ACM and serves on editorial boards for Computers & Graphics and ACM PACM journals . Awards include the GRSI Best Paper Award 2021 and recognition for contributions to ACM's Europe Council Best Paper Awards . Her research has commercial impact in gaming, visual effects, and mobile technologies. Current initiatives include the Centre for Energy Data Innovation and supervision of students in energy systems and HCI. She advocates for inclusive technology design and resilience engineering.

Bugra Alkanمشاهده پروفایل

مدرس ارشد

• Smart Manufacturing Systems
• Collaborative Robotics
• Industrial Artificial Intelligence
• +۷ مورد دیگر

Dr Bugra Alkan is a Senior Lecturer in Artificial Intelligence and Robotics at the School of Computer Science and Digital Technologies , London South Bank University . With a PhD in Engineering from University of Warwick (2019), he has held postdoctoral positions at University of Bristol and University of Warwick . Academic Rank: Senior Lecturer Institutional Roles: Module Leader for Industrial Cyber-Physical Systems, Artificial Intelligence, Systems Cybersecurity Editorial Roles: Associate Editor for Industrial Robot and Heliyon , Editorial Board Member for MDPI Sensors and Frontier of Industrial Engineering Research focuses on smart manufacturing , collaborative robotics , and industrial AI with emphasis on cyber-physical production systems , digital twins , and Industry 5.0 . Key projects include: Data-driven Configuration Optimisation of CPPS AI-Enabled Digital Life-cycle Management Deep Learning-based Inline Quality Inspection Human-centric Collaborative Assembly 5.0 Scientific contributions include: Best Paper Awards at CIRP CATS 2016 and IATS’13 Over 40 peer-reviewed publications with h-index 16 Editorial leadership in Q1/Q2 journals Teaching responsibilities span artificial intelligence , cyber-physical systems , and statistical modeling at both undergraduate and postgraduate levels. Current research involves EU-funded TWIN-IT-ROMANS project (€1.76M) addressing robotics manufacturing systems.

Canhui Chenمشاهده پروفایل

مدرس

• Sustainable Architecture
• Computational Design
• Digital Fabrication
• +۱۰ مورد دیگر

Canhui Chen is a Lecturer in Architectural Design at the School of Design and Architecture, Swinburne University of Technology, and one of the founding members of its architecture programme established in 2017. He previously served as a studio leader at the University of Melbourne and as a research associate and lecturer at RMIT University, where he led the digital fabrication stream in the Spatial Information Architecture Laboratory (SIAL) and the Master of Design Innovation and Technology (MDIT) programme. His research lies at the intersection of digital design, sustainability, and the circular economy , with a focus on computational design, digital and bio-fabrication, material efficiency, and innovative construction . He explores the use of biomaterials such as mycelium and the upcycling of timber and industrial by-products to develop sustainable architectural solutions. As Theme Leader for Innovative Building Processes at Swinburne’s Smart Cities Research Institute, he leads projects that bridge advanced design with local material economies. Chen’s recent publications reflect a strong trend in sustainable material innovation, structural optimization using waste timber, and bio-digital fabrication . His work integrates computational tools with ecological principles to minimize embodied carbon and promote circularity in construction. He has led interdisciplinary projects involving biologists, engineers, and designers, resulting in award-winning prototypes and exhibitions. His scientific recognition includes: Multiple Good Design Awards (Gold Winner in Design Research and Engineering Design) Australian Timber Design Awards (National Winner) Victorian Premier’s Design Awards (Finalist) New Colombo Plan Mobility Grant for sustainable urban renewal collaboration with India Innovation and Impact Award from Swinburne’s School of Design and Architecture Chen has secured several research grants, including projects on out-of-grade timber utilization (Forest and Wood Products Australia), mycelium-based upcycling (Seed and Sprout Co), and IoT-integrated digital fabrication with Arup. He has supervised and collaborated on numerous student and interdisciplinary projects, often resulting in physical prototypes and public exhibitions. He has organized international workshops such as the IaaC Global Summer School and served as a scientific reviewer for FABRICATE and Smartgeometry conferences. His work is widely disseminated through creative outputs, exhibitions, and collaborations with industry and academic institutions globally. He is actively involved in the Innovative Planet Research Institute and contributes to Swinburne’s flagship areas in Digital Capability, Manufacturing Futures, and Sustainable Planet . His work aligns with UN Sustainable Development Goals 9, 11, and 12.